A turma do Bairro e o Michel| Human Factors

Human Factors

The emergence and spread of infectious diseases, like COVID-19, are on the rise. Can you identify patterns between population density and COVID-19 cases and identify factors that could help predict hotspots of disease spread?

COVID COEFICIENT

Summary

We realize that is difficult for the governments of huge countries to make decisions about the pandemy. Our solution is to gather information from different regions, using IBGE form brazilian government and NASA's data and assemble them trough math, obtaining a number that indicates the regions's willingness to the Virus.That will allow the governments to make better decisions for each region. We are looking forward to our algorithm, to make it more reliable, easier and concise. So the world can stand against Corona Virus, armed with the best wepon: Information.

How We Addressed This Challenge

This project uses social, climatc and  economica data obtained from NASA and other sources and correlate this informations with the spred of Corona Virus.

How We Developed This Project

We saw the difficult our country has to stand against the pandemy. Brazil, togheter with huge countries like USA and Russia is taking the leadership in COVID-19's cases. So we though how we could use the information to combat the spread of ths disease

Project Demo

https://drive.google.com/file/d/11vxcDDIuDzYDxe2Hxge6t4fynAjY3NH3/view?usp=sharing
https://drive.google.com/file/d/1LXK36RIXWmCFthaDn2jSBoUcd6AKtkas/view?usp=sharing

https://drive.google.com/file/d/17XQaTwpotujCiaA2PVjn4mZWv6vBMgR3/view?usp=sharing

Project Code
Data & Resources

IBGE  (https://cidades.ibge.gov.br/)
NASA informations about wather

Tags
Information; Algorithm
Global Judging
This project was submitted for consideration during the Space Apps Global Judging process.